A Proficient System for Object and Crack Detection in A Railway System

Abstract

The growth and usage of Wireless Sensor Networks have paved the way for the development of numerous applications. The development of this technology has produced a variety of instruments and models that are used to support their lifestyle. Numerous applications can be built by making use of smart objects to make an effective environment. Railways are one of the biggest backbones in India. A lot of manpower is required to maintain such a huge population and also to provide efficient transportation. In this paper, we have introduced a model that is capable of reducing the overall workload of the railway system by monitoring it. The system makes use of various sensors such as Ultrasonic sensors, IR sensor and MEMS sensors. Raspberry Pi microcontroller is used as a platform to build the entire model that is able to detect cracks and objects effectively in railway tracks.  Other technologies such as GSM and GPS services are effectively used to detect the location of the obstacle and convey the alert to the respective authority. The performance of the model is evaluated and is observed to be much efficient when compared to other traditional monitoring systems.